Lead Monitoring Architect

We're growing a team of engineers who want to work at the center of that shift: designing and building autonomous, multi-agent systems powered by Anthropic's Claude models for some of the world's largest organizations.Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Work you'll doAs a Lead Architect with Anthropic experience, AI & Engineering on the Engineering as a Service team, you will be responsible for designing, building, and developing enterprise-grade Anthropic applications and platforms, selecting technologies and ensuring solutions are robust, scalable and secure. Integrate and fine-tune Large Language Models (LLMs) and other AI/ML models into enterprise applications. Develop and implement strategies for model deployment, inference and monitoring, with an emphasis on production level performance and reliabilityCollaborate with enterprise architects to ensure AI solutions align with the broader company’s technical strategy, governance and standardsDesign and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure, GCP). Leverage a wide range of hyperscaler tools and services including containers (Docker, Kubernetes), serverless functions, and managed databases. Ensure the security of all AI/ML systems by addressing potential vulnerabilities such as data privacy concerns, model poisoning, and adversarial attacksApply and enforce application design patterns and agentic design patterns to build resilient and maintainable software systemsworkflows, and automation solutions.Ability to work independently and collaborate as part of a teamEffective written and verbal communication skillsMeticulous attention to detail and quality of work productAbility to build and sustain professional relationshipsAbility to lead projects or workstreamsAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environmentStrong interpersonal skills and professional demeanorAbility to meet deadlinesAbility to provide clear guidance to othersThe teamEngineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client’s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.QualificationsRequired:8 or more years experience as a Solution or Application Architect with a strong focus on application development8+ years of hand-on experience in Java, .NET or PythonHyperscaler architect certifications - AWS Certified Solution Architect, Azure Solution Architect, or GCP Professional Cloud Architect6+ years of experience designing, developing and delivering production AI/ML solutions, including at least 1 year delivering production Generative AI or Agentic AI systems3+ years of hands-on experience developing AI/ML applications in Python, Java or .NETAt least 1 year of direct experience designing or implementing production agentic workflows involving capabilities such as orchestration, tool integration, state management, evaluation, guardrails, and human-in-the-loop controlsAt least 1 year of hands-on experience developing agentic AI solutions using Claude Agent SDK including agent orchestration, tool integration, permissions or MCP integrationsAt least 1 year of hands-on experience developing and deploying production solutions using Anthropic Claude models At least 1 year of experience applying prompt engineering, context engineering, structured outputs and related techniques to improve the performance, reliability and usability of AI solutions1+ years of experience leading project workstreams or engagement, translating business problems into AI solutions and delivering measurable outcomesBachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or another technical field, or equivalent professional experience.Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.Limited immigration sponsorship may be available.Preferred:Experience leading and mentoring high performance development teamsMaster’s degree in computer science or engineeringExperience using Claude Cowork to support enterprise workflows, automation, research or other knowledge-work casesHands-on experience using Claude through one of more of the following: Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or the native Anthropic APIThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Deloitte is committed to providing reasonable accommodations for people with disabilities. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act.